Sentence examples for classes of populations from inspiring English sources

Directionality theory distinguishes between two classes of populations: equilibrium and opportunistic species.

For plant stature, we defined five classes of populations: S and T, corresponding respectively to pure populations of short or tall progenies, and three kinds of mixed populations (S < T, T = S, and S > T, when respectively the frequency of short progenies was lower than 33%, between 33 and 66%, and higher than 66%).

Open image in new window Fig. 7 Pareto optimality ranking and shared classes of population individuals (left) and crossover and mutation operators (right).

Four classes of population can be distinguished on the basis of the length and number of ROH, which describe a demographic historical space.

Similarly, classification of neural activity in the motor cortex during resting states and arm movements at four different angles can be solved in a four-dimensional discriminating subspace, where all classes of population responses are projected to segregated regions.

First, we ran logistic regressions in which a dummy coded categorical variable reflecting the four classes of population change was forced into the model as an independent predictor of leukaemia incidence.

This study was designed to better understand serum PBDE concentrations for three age classes of population in California, including a focus on young children, and to explore potential predictors of PBDE serum concentrations.

The AMOVA analysis for the age classes of each of the two populations revealed that the second and third age classes of population Dp had significant FIS values above zero, whereas all other age classes had insignificant FIS values close to zero.

Third, to assess possible confounding and effect modification by rural environment, we ran logistic regressions in which a categorical variable reflecting the four classes of population change and a categorical variable reflecting rural character and their interaction terms as candidate predictor variables.

A coalescent model is developed for a large class of populations such that the demographic history is described by a deterministic nonlinear dynamical system of arbitrary dimension.

The BCO algorithm is a stochastic, random-search technique that belongs to the class of population-based algorithms.